Google Cloud Generative AI Leader – Certification Preparation Training Course
The Google Cloud Generative AI Leader certification validates the knowledge needed to lead generative AI initiatives and to understand how Google Cloud's gen AI offerings create business value.
This instructor-led, live training (online or onsite) is aimed at beginner-level business professionals and leaders who wish to prepare for and pass the Generative AI Leader certification exam.
By the end of this training, participants will be able to:
- Explain the fundamentals of generative AI, foundation models, and the gen AI landscape.
- Describe Google Cloud's gen AI offerings, from Gemini apps to Vertex AI and agents.
- Apply techniques to improve model output (prompt engineering, grounding, RAG).
- Understand business strategies, secure AI, and responsible AI for successful adoption.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
Course Outline
Introduction
- The Generative AI Leader certification: value and audience
- Exam format, domains and weightings, and how to prepare
Fundamentals of Gen AI (~30%)
- Core gen AI concepts and use cases (AI, ML, LLMs, foundation models, multimodal and diffusion models, prompt engineering)
- Machine learning approaches (supervised, unsupervised, reinforcement) and the ML lifecycle
- Foundation model selection criteria (modality, context window, cost, performance, customization)
- Data types and data quality in gen AI (structured vs unstructured, labeled vs unlabeled)
- The gen AI landscape layers and Google's foundation models (Gemini, Gemma, Imagen, Veo)
Google Cloud's Gen AI Offerings (~35%)
- Google Cloud's gen AI strengths and AI-optimized infrastructure (TPUs, GPUs, hypercomputer)
- Prebuilt offerings: Gemini app and Gemini Advanced, Gemini for Google Workspace, Gemini Enterprise
- Customer experience: Customer Engagement Suite (Conversational Agents, Agent Assist, Conversational Insights)
- Developer enablement: Vertex AI / Agent Platform, Model Garden, and RAG offerings
- Gen AI agent tooling (extensions, functions, data stores) and relevant Google Cloud services
Techniques to Improve Gen AI Model Output (~20%)
- Overcoming foundation model limitations (knowledge cutoff, bias, hallucinations, edge cases)
- Prompt engineering techniques (zero-shot, one-shot, few-shot, role, prompt chaining, chain-of-thought, ReAct)
- Grounding and Retrieval-Augmented Generation (RAG)
- Sampling parameters for controlling output (temperature, top-p, token count, safety settings)
Business Strategies for Successful Gen AI Solutions (~15%)
- Implementation steps and solution selection methodology
- Secure AI and Google's Secure AI Framework (SAIF)
- Responsible AI: privacy, bias and fairness, accountability, and explainability
Exam Preparation
- Sample questions and domain-by-domain review
- Full mock exam and answer analysis
- Study plan and exam-day strategy
Summary and Next Steps
Requirements
Prerequisites
- No technical prerequisites required
- General familiarity with business technology is helpful
Audience
- Leaders, managers, and decision-makers
- Business professionals in any role adopting generative AI
- Anyone preparing for the Google Cloud Generative AI Leader certification
Need help picking the right course?
macao@nobleprog.com or +852 81990613
Google Cloud Generative AI Leader – Certification Preparation Training Course - Enquiry
Testimonials (1)
Flow , vibe and topic on presentation
Lukasz Kowalczyk - Allegro Sp. z o.o.
Course - Google Gemini AI for Data Analysis
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